bsuirДоклады БГУИРDoklady BGUIR1729-76482708-0382БГУИР10.35596/1729-7648-2023-21-4-40-45bsuir-3680Research ArticleЭЛЕКТРОНИКА, РАДИОФИЗИКА, РАДИОТЕХНИКА, ИНФОРМАТИКАELECTRONICS, RADIOPHYSICS, RADIOENGINEERING, INFORMATICSОпределение параметров лазерной обработки алмазов с применением метода конечных элементов и искусственных нейронных сетейEstimating the Parameters of Laser Processing of Diamonds Using the Finite Element Method and Artificial Neural NetworksЕмельяновВ. А.EmelyanovV. A.

Доктор технических наук, профессор, член-корреспондент Национальной академии наук Беларуси

г. Минск

Victor A. Emelyanov - Dr. of Sci. (Tech.), Professor, Corr. Member of the National Academy of Sciences of Belarus.

Minsk

ШершневЕ. Б.ShershnevE. B.

Кандидат технических наук, доцент, заведующий кафедрой общей физики

г. Гомель

Evgeny B. Shershnev - Cand. of Sci., Associate Professor, Head of the Department of General Physics.

246019, Gomel, Sovietskaya St., 104

НикитюкЮ. В.NikitjukYu. V.

Кандидат технических наук, доцент, проректор по учебной работе

г. Гомель

Yuri V. Nikitjuk - Cand. of Sci., Associate Professor, Vice Rector for Academic Affairs.

246019, Gomel, Sovietskaya St., 104

СоколовС. И.SokolovS. I.

Соколов Сергей Иванович

Старший преподаватель кафедры общей физики

246019, г. Гомель, ул. Советская, 104

Тел. +375 232 50-38-17

Sokolov Sergey Ivanovich - Senior Lecturer at the Department of General Physics.

246019, Gomel, Sovietskaya St., 104. Tel.: +375 232 50-38-17

sokolov@gsu.byАушевИ. Ю.AushevI. Y.

Кандидат технических наук, доцент, профессор кафедры промышленной безопасности

г. Минск

Igor Y. Aushev - Cand. of Sci., Associate Professor, Professor at the Department of Industrial Safety.

Minsk

ОАО «ИНТЕГРАЛ» – управляющая компания холдинга «ИНТЕГРАЛ»Joint-Stock Company “INTEGRAL” – Manager Holding Company “INTEGRAL”Гомельский государственный университет имени Франциска СкориныFrancisk Skorina Gomel State UniversityУниверситет гражданской защиты МЧС Республики БеларусьUniversity of Civil Protection of the Ministry for Emergency Situations of the Republic of Belarus2023290820232144045Copyright © Емельянов В.А., Шершнев Е.Б., Никитюк Ю.В., Соколов С.И., Аушев И.Ю., 20232023Емельянов В.А., Шершнев Е.Б., Никитюк Ю.В., Соколов С.И., Аушев И.Ю.Emelyanov V.A., Shershnev E.B., Nikitjuk Y.V., Sokolov S.I., Aushev I.Y.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://doklady.bsuir.by/jour/article/view/3680

С помощью сочетания искусственных нейронных сетей и метода конечных элементов выполнено моделирование процесса лазерной обработки алмазов. Обучающий массив данных и массив данных для тестирования нейронных сетей были сформированы с использованием программы конечно-элементного анализа ANSYS. Расчеты выполняли для 600 вариантов входных параметров, 60 из которых использовали для тестирования искусственных нейронных сетей. Исследовано влияние параметров нейросетевых моделей на точность определения температур в зоне лазерной обработки. Установлены параметры нейронных сетей, обеспечивающие приемлемые результаты при прогнозировании температур, формируемых лазерным излучением в алмазах. Полученные результаты могут быть использованы при определении технологических параметров процессов лазерной обработки алмазов.

This paper provides the simulation of laser processing of diamonds by using a combination of artificial neural networks and the finite element method. The training data array and the data array for testing neural networks were generated in ANSYS. The calculations were performed for 600 types of input parameters, 60 of which were used to test artificial neural networks. The influence of the parameters of neural network models on the accuracy of determining temperatures in the laser processing area were studied. The parameters of neural networks were established that provide acceptable results in predicting temperatures generated by laser radiation in diamonds. The results obtained can be used to determine the technological parameters of the laser processing of diamonds.

нейронная сетьлазерная обработкаалмазANSYSneural networklaser processingdiamondANSYSReferencesMityagin A. Y., Altukhov A. A., Mityagina A. B. (2009) Technology and Equipment for Processing Diamond Materials of Modern Technology. Technology and Design in Electronic Equipment. (1), 53–58 (in Russian).Mityagin A. Y., Altukhov A. A., Mityagina A. B. (2009) Technology and Equipment for Processing Diamond Materials of Modern Technology. Technology and Design in Electronic Equipment. (1), 53–58 (in Russian).Shkadov A. I., Bocharov A. M. (ed.) (1997) Physical Foundations of Laser Processing of Diamonds. Physical Bases of Laser Diamond Processing. 3, 288 (in Russian).Shkadov A. I., Bocharov A. M. (ed.) (1997) Physical Foundations of Laser Processing of Diamonds. Physical Bases of Laser Diamond Processing. 3, 288 (in Russian).Retukhin G. E., Koshcheev A. G., Fain I. V., Shershnev E. B. (2001) Dimensional Processing of Gem Diamonds by Q-Switched YAG: ND Laser Radiation. Proceedings of the National Academy of Sciences of Belarus. Physical-Technical Series. (1), 73–77 (in Russian).Retukhin G. E., Koshcheev A. G., Fain I. V., Shershnev E. B. (2001) Dimensional Processing of Gem Diamonds by Q-Switched YAG: ND Laser Radiation. Proceedings of the National Academy of Sciences of Belarus. Physical-Technical Series. (1), 73–77 (in Russian).Bessmeltsev V. P., Bulushev E. D. (2014) Optimization of Laser Microprocessing Modes. Avtometriya. 50 (6), 3–21 (in Russian).Bessmeltsev V. P., Bulushev E. D. (2014) Optimization of Laser Microprocessing Modes. Avtometriya. 50 (6), 3–21 (in Russian).Parandoush P., Hossain A. (2014) A Review of Modeling and Simulation of Laser Beam Machining. International Journal of Machine Tools and Manufacture. (85), 135–145.Parandoush P., Hossain A. (2014) A Review of Modeling and Simulation of Laser Beam Machining. International Journal of Machine Tools and Manufacture. (85), 135–145.Shalupaev S. V., Shershnev E. B., Nikitjuk Y. V., Sviridova V. V. (2001) Dependence of the Diamond Laser Processing Efficiency on Crystallographic Directions. SPIE. 4358, 329–333.Shalupaev S. V., Shershnev E. B., Nikitjuk Y. V., Sviridova V. V. (2001) Dependence of the Diamond Laser Processing Efficiency on Crystallographic Directions. SPIE. 4358, 329–333.Shershnev E. B., Nikityuk Y. V., Shershnev A. E. (2011) Simulation of Laser Processing of Diamond Crystals. Proceedings of Francisk Skorina Gomel State University. (6), 164–168 (in Russian).Shershnev E. B., Nikityuk Y. V., Shershnev A. E. (2011) Simulation of Laser Processing of Diamond Crystals. Proceedings of Francisk Skorina Gomel State University. (6), 164–168 (in Russian).Shershnev E. B., Nikityuk Y. V., Shershnev A. E., Sokolov S. I. (2015) Features of the Formation of Thermoelastic Fields During Laser Processing of Diamond Crystals. Problems of Physics, Mathematics and Technics. (1), 38–40 (in Russian).Shershnev E. B., Nikityuk Y. V., Shershnev A. E., Sokolov S. I. (2015) Features of the Formation of Thermoelastic Fields During Laser Processing of Diamond Crystals. Problems of Physics, Mathematics and Technics. (1), 38–40 (in Russian).Emelyanov V. A., Shershnev E. B., Nikitjuk Y. V., Sokolov S. I., Aushev I. Y. (2022) Optimization of Laser Processing of Diamonds. Problems of Physics, Mathematics and Technics. (4), 30–36.Emelyanov V. A., Shershnev E. B., Nikitjuk Y. V., Sokolov S. I., Aushev I. Y. (2022) Optimization of Laser Processing of Diamonds. Problems of Physics, Mathematics and Technics. (4), 30–36.Bakhtiyari A. N., Wang Z., Wang L., Zheng H. (2021) A Review on Applications of Artificial Intelligence in Modeling and Optimization of Laser Beam Machining. Optics & Laser Technology. 135, 1–18.Bakhtiyari A. N., Wang Z., Wang L., Zheng H. (2021) A Review on Applications of Artificial Intelligence in Modeling and Optimization of Laser Beam Machining. Optics & Laser Technology. 135, 1–18.Yousef B. F., Knopf G. K., Bordatchev E. V., Nikumb S. K. (2003) Neural Network Modeling and Analysis of the Material Removal Process During Laser Machining. International Journal of Advanced Manufacturing Technology. 22 (1–2), 41–53.Yousef B. F., Knopf G. K., Bordatchev E. V., Nikumb S. K. (2003) Neural Network Modeling and Analysis of the Material Removal Process During Laser Machining. International Journal of Advanced Manufacturing Technology. 22 (1–2), 41–53.Ismail M., Okamoto Y., Okado A. (2013) Neural Network Modeling for Prediction of Weld Bead Geometry in Laser Microwelding. Advances in Optical Technologies. 7.Ismail M., Okamoto Y., Okado A. (2013) Neural Network Modeling for Prediction of Weld Bead Geometry in Laser Microwelding. Advances in Optical Technologies. 7.Kadri M. B., Nisar S., Khan S. Z., Khan W. A. (2015) Comparison of ANN and Finite Element Model for the Prediction of Thermal Stresses in Diode Laser Cutting of Float Glass. Optik – Int. J. Light Electron Optics. 126 (19), 1959–1964.Kadri M. B., Nisar S., Khan S. Z., Khan W. A. (2015) Comparison of ANN and Finite Element Model for the Prediction of Thermal Stresses in Diode Laser Cutting of Float Glass. Optik – Int. J. Light Electron Optics. 126 (19), 1959–1964.Kant R., Joshi S. N., Dixit U. S. (2015) An Integrated FEM-ANN Model for Laser Bending Process with Inverse Estimation of Absorptivity. Mech Adv Mater Mod Process. (1), 6.Kant R., Joshi S. N., Dixit U. S. (2015) An Integrated FEM-ANN Model for Laser Bending Process with Inverse Estimation of Absorptivity. Mech Adv Mater Mod Process. (1), 6.Nikitjuk Y., Bayevich G., Myshkovets V., Maximenko A., Aushev I. (2022). Characterization of Laser Welding of Steel 30XГCH2A by Combining Artificial Neural Networks and Finite Element Method. Research and Education: Traditions and Innovations. INTER-ACADEMIA 2021. Lecture Notes in Networks and Systems. 422. Springer, Singapore. https://doi.org/10.1007/978-981-19-0379-3_28.Nikitjuk Y., Bayevich G., Myshkovets V., Maximenko A., Aushev I. (2022). Characterization of Laser Welding of Steel 30XГCH2A by Combining Artificial Neural Networks and Finite Element Method. Research and Education: Traditions and Innovations. INTER-ACADEMIA 2021. Lecture Notes in Networks and Systems. 422. Springer, Singapore. https://doi.org/10.1007/978-981-19-0379-3_28.Nikityuk Y. V., Serdyukov A. N., Prokhorenko V. A., Aushev I. Y. (2021) Application of Artificial Neural Networks and the Finite Element Method to Determine the Processing Parameters of Quartz Sol-Gel Glasses with Elliptical Laser Beams. Problems of Physics, Mathematics and Technics. (3), 30–36 (in Russian).Nikityuk Y. V., Serdyukov A. N., Prokhorenko V. A., Aushev I. Y. (2021) Application of Artificial Neural Networks and the Finite Element Method to Determine the Processing Parameters of Quartz Sol-Gel Glasses with Elliptical Laser Beams. Problems of Physics, Mathematics and Technics. (3), 30–36 (in Russian).Nikitjuk Y. V., Serdyukov A. N., Aushev I. Y. (2022) Determination of the Parameters of Two-Beam Laser Splitting of Silicate Glasses Using Regression and Neural Network Models. Journal of the Belarusian State University. Physics. 5–43.Nikitjuk Y. V., Serdyukov A. N., Aushev I. Y. (2022) Determination of the Parameters of Two-Beam Laser Splitting of Silicate Glasses Using Regression and Neural Network Models. Journal of the Belarusian State University. Physics. 5–43.Nikityuk Y. V. et al. (2022) Application of the Finite Element Method and Artificial Neural Networks to Determine the Parameters of Laser Processing of Steel 12Х18Н9Т. Bulletin. Sukhoi State Technical University of Gomel. (1), 48–55 (in Russian).Nikityuk Y. V. et al. (2022) Application of the Finite Element Method and Artificial Neural Networks to Determine the Parameters of Laser Processing of Steel 12Х18Н9Т. Bulletin. Sukhoi State Technical University of Gomel. (1), 48–55 (in Russian).Bokii G. B., Bezrukov G. N., Klyuev Y. A. et аl. (1986) Natural and Synthetic Diamonds. Moscow, Nauka Publ. 221 (in Russian).Bokii G. B., Bezrukov G. N., Klyuev Y. A. et аl. (1986) Natural and Synthetic Diamonds. Moscow, Nauka Publ. 221 (in Russian).Novikov N. V. et al. (1987) Physical Properties of Diamond. Kiev, Navukova Dumka Publ. 201 (in Russian).Novikov N. V. et al. (1987) Physical Properties of Diamond. Kiev, Navukova Dumka Publ. 201 (in Russian).Golovko V. A., Krasnoproshin V. V. (2017) Neural Network Technologies for Data Processing: Teaching Manual. Minsk, BSU Publ. 263 (in Russian).Golovko V. A., Krasnoproshin V. V. (2017) Neural Network Technologies for Data Processing: Teaching Manual. Minsk, BSU Publ. 263 (in Russian).François Chollet (2018) Deep Learning with Python. St. Petersburg, Peter Publ. 400.François Chollet (2018) Deep Learning with Python. St. Petersburg, Peter Publ. 400.

The authors declare that there are no conflicts of interest present.